Exporting Data & Reports for Analysis

Purpose: Enable accurate reporting, analysis, audits, and decision-making using Admin Panel data.


1. Purpose of This Module

To ensure:

✔ Teams extract the right data
✔ Reports are consistent and reliable
✔ No data misuse or misinterpretation
✔ Smooth weekly/monthly reviews
✔ Strong audit & compliance readiness

Exported data is used for:

  • Performance reviews

  • SLA analysis

  • Vendor evaluation

  • City/area planning

  • Finance reconciliation

  • Management reporting


2. Who Uses Data Exports (Team-Wise)

Operations Team

  • Order flow analysis

  • SLA delay tracking

  • Reassignment analysis

CX Team

  • Complaint trend analysis

  • Failure reason analysis

  • Resolution time tracking

Vendor Ops Team

  • Vendor SLA scorecards

  • Vendor performance & violation tracking

  • Hold/Deactivate justification

Business Development (BD) / Area Management

  • Pincode-wise demand

  • Coverage gap analysis

  • City expansion planning

Finance Team

  • Wallet transactions

  • Credit movements

  • Refund reconciliation

  • Audit & compliance

Management

  • High-level dashboards

  • Weekly & monthly business review

  • Strategic planning


3. Types of Data That Can Be Exported

Admin Panel allows exporting data from multiple modules:

A. Orders Data

Includes:

  • Order ID

  • Customer details

  • Vendor assigned

  • City & pincode

  • Order status

  • Payment status

  • Failure reasons

  • Timestamps (created, assigned, completed)

Used by: Ops, CX, Management, BD


B. Leads Data

Includes:

  • Lead ID

  • Device type

  • City

  • Lead status (Not Called, Callback, High End)

  • Dispositions

  • Call notes

  • Conversion outcome

Used by: Sales, CX, Management


C. Vendor Data

Includes:

  • Vendor ID & name

  • Area coverage

  • SLA score

  • Orders completed

  • Violations

  • Wallet & credit balance

  • Hold/Deactivation status

Used by: Vendor Ops, Ops, BD, Management


D. SLA & Escalation Data

Includes:

  • Violation type

  • Order ID

  • Vendor ID

  • City

  • Escalation level

  • Action taken

Used by: Ops, Vendor Ops, Management


E. Finance & Payments Data

Includes:

  • Wallet deductions

  • Wallet reversals

  • Credit deductions

  • Credit refunds

  • Refund reasons

  • Transaction references (UTR)

Used by: Finance, Management


F. Coverage & Area Data

Includes:

  • Serviceable pincodes

  • Non-serviceable pincodes

  • Device-type availability per area

  • Vendor count per pincode

Used by: BD, Vendor Ops, Management


4. How to Export Data from Admin Panel

Step-by-Step Process

  1. Go to the required module
    (Orders / Leads / Vendors / Payments / SLA / Areas)

  2. Apply filters:

    • Date range

    • City

    • Vendor

    • Status

    • Device type

  3. Click Export / Download

  4. Choose format:

    • CSV (preferred)

    • Excel (XLSX)

  5. File downloads automatically


5. Standard Export Frequency (Best Practice)

Report Type

Frequency

Orders & SLA

Daily

Leads

Daily

Vendor Performance

Weekly

Coverage / Area

Weekly

Finance & Payments

Weekly

Business Summary

Monthly


6. Data Validation Before Analysis

Before using exported data:

✔ Check date range
✔ Check missing values
✔ Verify totals with dashboard
✔ Confirm no duplicate rows
✔ Cross-check critical metrics

If mismatch found → report to Tech/Data Analyst.


7. Where Exported Data Is Used

  • Google Sheets / Excel → Quick analysis

  • Looker Studio → Dashboards

  • Finance systems → Reconciliation

  • Management decks → Reviews

  • Audit files → Compliance

No sensitive data should be shared externally without approval.


8. Data Access & Security Rules

✔ Only authorized users can export data
✔ Finance exports restricted to Finance & Management
✔ Vendor personal data must not be shared outside company
✔ Do not edit raw export files (keep master copy)
✔ Store files in approved internal drives only


9. Common Mistakes to Avoid

🚫 Exporting without filters (huge raw data)
🚫 Sharing outdated reports
🚫 Editing raw data directly
🚫 Using different date ranges across teams
🚫 Mismatch between dashboard & export


10. Role of Data / Analytics Team (If Applicable)

  • Clean & standardize exports

  • Merge multiple exports

  • Build dashboards

  • Highlight insights

  • Flag anomalies

  • Support Ops, BD, Finance & Management


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